1.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.03
## LDevsum       1.01       1.05
## dh0           1.38       2.18
## dh1           1.72       3.73
## dh2           1.47       2.65
## dl0           1.09       1.34
## dl1           1.19       1.68
## dl2           1.03       1.03
## dl3           1.19       1.66
## 
## Multivariate psrf
## 
## 1.38

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.08       1.33
## dh0           1.41       2.23
## dh1           2.51       5.00
## dh2           1.57       3.22
## dl0           3.28       6.91
## dl1           1.07       1.08
## dl2           3.35       7.44
## dl3           1.76       3.22
## 
## Multivariate psrf
## 
## 3.05

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results